Kardi Teknomo Kardi Teknomo
Kardi Teknomo Kardi Teknomo Kardi Teknomo

Visit Tutorials below:
Adaptive Learning from Histogram
Adjacency matrix
Analytic Hierarchy Process (AHP)
ArcGIS tutorial
Arithmetic Mean
Bayes Theorem
Bootstrap Sampling
Bray Curtis Distance
Break Even Point
Chebyshev Distance
City Block Distance
Conditional Probability
Complex Number
Continued Fraction
Data Analysis from Questionnaire
Data Revival from Statistics
Decimal to Rational
Decision tree
Difference equations
Digital Root
Discriminant analysis
Eigen Value using Excel
Euclidean Distance
Euler Integration
Euler Number
Excel Iteration
Excel Macro
Excel Tutorial
Expectation Maximization (EM) Algorithm
Factorial Function
Feasibility Study
Financial Analysis
Financial Education
Gaussian Mixture Model
Generalized Inverse
Generalized Mean
Geometric Mean
Ginger Bread Man and Chaos
Graph Theory
Growth Model
Hamming Distance
Harmonic Mean
Hierarchical Clustering
Independent Events
Incident matrix
Jaccard Coefficient
Kernel basis function
Kernel Regression
k-Means clustering
K Nearest Neighbor
LAN Connections Switch
Learning from data
Lehmer Mean
Linear Algebra
Logarithm Rules
Mahalanobis Distance
Market Basket Analysis
Mean Absolute Deviation
Mean and Average
Mean, median, mode
Minkowski Distance
Minkowski Mean
Monte Carlo Simulation
Multi Agent System
Maximum Likelihood
Multicriteria decision making
Mutivariate Distance
Neural Network
Newton Raphson
Non-Linear Transformation
Normalization Index
Normalized Rank
Ordinary Differential Equation
Page Rank
Power rules
Prime Factor
Prime Number
Q Learning
Quadratic Function
Queueing Theory
Rank Reversal
Recursive Statistics
Regression Model
Reinforcement Learning
Root of Polynomial
Scenario Analysis
Sierpinski gasket
Sieve of Erastosthenes
Similarity and Distance
Solving System Equation
Standard deviation
String Distance
Summation Tricks
Support Vector Machines
System dynamic
Time Average
Tower of Hanoi
Vedic Square
Visual Basic (VB) tutorial
What If Analysis

Bootstrap Sampling Tutorial

By Kardi Teknomo, PhD.

Share this: Google+

Bootstrap is a simple but powerful Monte Carlo method to assess statistical accuracy or to estimate distribution from sample's statistics. This tutorial will give you introduction to some practical idea on what is bootstrap method, how to perform bootstrap step by step by hand and with some simple "programming" in MS Excel. By the end of this tutorial, you will gain much better understanding on how to manage your limited number of observations in your sample by creating your own data. Bootstrap sampling is not magic or miracle or cheating but truly useful scientific method. Keep reading!

Click on any topic below

What is bootstrap method?
What is boostsrap sampling?
What are the assumption of Bootstrap?
Example Applications of Bootstrap
Bootstrap numerical example (How to use MS Excel to perform Bootstrap method?)
Key ideas of bootstrap sampling
Why do I need Boostrap Sampling?
Sampling and Bootstrap Sampling
What is sample and population?
What you can get from frequency distribution?
Non parametric Bootstrap
What the Strength and Weaknesses of Bootstrap?
Resources on Bootstrap Method

See Also:
Monte Carlo Simulation, Statistical Independent, Bootstrap computation using R

Note: To gain more understanding of this tutorial, I hope you have refreshed yourself with the meaning of statistical terminology such as distribution, statistical independent, confidence interval, hypothesis testing, goodness of fit of sample to theoretical distribution and ratio of two random variables.

Rate & Comment of this tutorial


Share and save this tutorial
Add to: Del.icio.us  Add to: Digg  Add to: StumbleUpon  Add to: Reddit  Add to: Slashdot  Add to: Technorati  Add to: Netscape  Add to: Newsvine  Add to: Mr. Wong Add to: Webnews Add to: Folkd Add to: Yigg Add to: Linkarena Add to: Simpy Add to: Furl Add to: Yahoo Add to: Google Add to: Blinklist Add to: Blogmarks Add to: Diigo Add to: Blinkbits Add to: Ma.Gnolia Information

This tutorial is copyrighted.

Preferable reference for this tutorial is

Teknomo, Kardi (2015). Bootstrap Sampling Tutorial. http://people.revoledu.com/kard/ tutorial/bootstrap/

© 2015 Kardi Teknomo. All Rights Reserved.